Machine Learning solutions for Flow Designer

  • Release version: Zurich
  • Updated January 20, 2026
  • 2 minutes to read
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    Summary of Machine Learning solutions for Flow Designer

    With the Predictive Intelligence for Flow Designer (com.snc.mlflowdesigner), ServiceNow customers can integrate machine learning capabilities within their workflows. This spoke allows for the incorporation of predictive model outcomes into flows, enhancing decision-making processes.

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    Key Features

    • Frameworks: The spoke offers three frameworks to develop machine-learning solutions:
      • Classification Framework: For predicting outcomes based on input data.
      • Similarity Framework: For identifying similar records within specified tables.
      • Clustering Framework: For organizing data into groups without pre-defined labels.
    • Actions: The spoke includes several actions that allow users to obtain predictions without scripting:
      • Classification Batch Prediction: Get predictions for multiple records.
      • Classification Prediction: Get a prediction for a single record.
      • PI Confidence Check: Compare predicted confidence values against user-defined thresholds.
      • Regression Predictions: Obtain predictions from existing regression models (note: creating new regression models is deprecated).
      • Similarity Prediction: Retrieve similar records based on user-defined criteria.

    Key Outcomes

    By utilizing the Predictive Intelligence for Flow Designer, ServiceNow customers can automate and enhance their workflows with machine learning insights, leading to improved efficiency and more informed decision-making. Ensure that the required plugins are installed and that you have the necessary user roles to access and use these features effectively.

    With Predictive Intelligence for Flow Designer (com.snc.ml_flowdesigner), you can deploy machine learning solutions in your instance. This spoke provides actions to incorporate Predictive Intelligence model predictions into flows.

    Predictive Intelligence activation

    This spoke requires Predictive Intelligence (com.glide.platform_ml). For more information, see Install Predictive Intelligence.

    Key features

    Predictive Intelligence for Flow Designer provides three frameworks that you can use to create machine-learning solutions in your instance. Each framework delivers a different solution type for training the system to predict, recommend, and organize data outcomes.
    • Classification framework
    • Similarity framework
    • Clustering framework

    Spoke requirements

    • A sharedservice.worker user to train solutions.
    • A pre-trained Predictive Intelligence solution.

    Spoke dependencies

    If you’re having trouble installing the app, ensure that these dependent plugins are installed:
    • Predictive Intelligence (com.glide.platform_ml) plugin
    • Predictive Intelligence Reporting (com.glide.platform_ml_pa) plugin
    Note:
    Some plugins may be licensable features and require appropriate licenses, if used outside the spoke implementation.

    Spoke actions

    Predictive Intelligence for Flow Designer (com.snc.ml_flowdesigner) provides actions to make predictions using existing models without having to write or maintain script. Available actions include:

    Action Description
    Classification Batch Prediction Obtain a predicted value from an active classification solution definition using multiple input records.
    Classification Prediction Obtain a predicted value from an active classification solution definition using a single input record.
    PI Confidence Check Compare an output value (number) from Predictive intelligence with a number specified by the user. For example: Compare the confidence value of a prediction with a specified value.
    Regression Batch Prediction Obtain a predicted value from an active regression solution definition using multiple input records.
    Note:
    The regression framework is deprecated in the Zurich release. You can continue to use existing regression solutions but you can't create new ones.
    Regression Prediction Obtain a predicted value from an active regression solution definition using a single input record.
    Note:
    The regression framework is deprecated in the Zurich release. You can continue to use existing regression solutions but you can't create new ones.
    Similarity Prediction Obtain similar records that exist in the table specified by the user in their similarity solution definition.

    Spoke user roles

    Predictive Intelligence for Flow Designer provides these user roles to control access to data:
    User role Description
    ml_admin Grants access to all Predictive Intelligence features